Jobs at Applied Materials

Design and implement scalable high-performance computing infrastructures for chip manufacturing, focusing on GPU and CPU integration, parallel programming, and optimization.

Leads a technical team developing computer vision, machine learning, image processing, and deep learning algorithms for semiconductor inspection and metrology systems. Defines architecture and technical roadmaps, drives high-performance CPU/GPU implementations, oversees validation and product releases, resolves customer issues, and partners with global software, HPC, systems, product, and applications teams. Responsible for hiring, mentoring, succession planning, and cross-functional delivery.

Lead the architecture and development of scalable software for semiconductor manufacturing automation. Build across frontend, backend, databases, messaging, infrastructure, Kubernetes, and AI-powered systems. Partner with product teams, customers, and domain experts to improve manufacturing productivity, quality, throughput, and reliability. Mentor engineers, guide technical direction, improve observability and performance, and influence product decisions through strong engineering judgment and semiconductor manufacturing expertise.

Design and build test automation strategies and frameworks using Core Java; develop and execute automated functional and non-functional test scenarios; analyze manual QA for automation opportunities; debug and isolate defects; evaluate new tools; work in Agile with familiarity of CI/CD pipelines.

Develops and leads algorithmic modules and workflows using MATLAB, covering research, design, implementation, integration, testing, and deployment. Analyzes problems, gathers data, reviews literature, evaluates technologies, and defines work plans. Collaborates with internal and external customers, contributes to system definition, assesses competitor solutions, documents development, and mentors other algorithm developers.

Leads design, development, testing, deployment, and support of complex C/C++ and .NET software for MES and equipment automation systems. Translates requirements into scalable architectures, resolves distributed-system issues, drives verification and validation, participates in design and code reviews, collaborates with cross-functional teams, mentors engineers, and leads technical projects.

Research and develop domain-specific LLMs and generative models for materials science: pretraining, fine-tuning, alignment (e.g., RLHF), evaluation, dataset curation, and benchmark creation. Collaborate with scientists and engineers to apply generative AI to discovery and hardware design, publish research, and mentor junior team members.

Lead a backend/product software team (7-10 developers) to deliver end-to-end Java-based features and fixes. Provide technical mentorship, contribute hands-on coding and architecture (HLD/LLD), ensure software quality, CI releases, and work with large data sets and databases. Interface with stakeholders, operate in a multi-site Agile environment, and split time between technical delivery and management.

Design, develop, and debug complex software for semiconductor equipment. Create software specifications, test plans, documentation, and test procedures. Troubleshoot and fix difficult software issues, implement fixes, and collaborate with internal and external customers on requirements and schedules.

Create and maintain high-quality software documentation (online help, release notes, installation instructions). Collaborate with engineers, product managers, QA, and support to gather information, use software and VMs to explore features, produce diagrams/screenshots, and deliver accurate documentation on schedule while using AI tools to improve productivity.